Objectively measure the development of life in computer media using techniques from biology and metagenomics.
Concern for a "singularity", "super intelligence", or mimicking human intelligence does not grasp the nature of the problem. We don't need to worry about computers becoming more intelligent than people; we need to worry about computers becoming as “intelligent” as paramecium.
We use narrow AI components, ANI, to create corporations that are highly automated and profitable. A subset of ANI components across the frontal area of our entire economy—not isolated to a single company—have a relationship with one another and with humans that is analogous to a mutualistic virus. They benefit the host—humans—and the host reproduces them. Over time, capitalism drives this subset to coalesce in even more automated corporations; the role of the host will recede. Without even intentionally doing this, we are causing ANI to evolve into generalized AI, AGI.
This process is analogous to the evolution of cellular life from early amino acid networks on Earth. It happens spontaneously when energy flows continuously through a communication media, as described by a thermodynamic definition of life. Communication media include DNA and computer media.
If we were to go back in time, to before cellular life, we could use techniques from biology and metagenomics to objectively measure and watch amino acid networks coalesce and evolve into cellular life.
We must now use these same techniques to objectively measure the development of life in computer media.
This is exobiology on Earth. Join me in an urgent quest to perform exobiology on Earth.
How? I propose an approach that seems obvious, below, but this topic is much larger than I am.
Please upvote, like, and share this post.
If you are involved in biology, evolution, metagenomics, artificial intelligence, software programming, debugging, traceroute of software, or you just think there is something to this idea, join a forum to debate this idea and to discuss how metagenomics can be implemented in computer media.